{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.2.0\n",
      "0.8.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "import tensorflow_hub as hub\n",
    "import tensorflow_datasets as tfds\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image, ImageOps\n",
    "import IPython.display as display\n",
    "AUTOTUNE = tf.data.experimental.AUTOTUNE\n",
    "\n",
    "print(tf.__version__)\n",
    "print(hub.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading file pattern for multiple parts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify the directory path where `tfrecord` files are stored. `root_dir` is the path of your local file system right down to the folder where `tfrecord` files are stored. In the cell below, you see an example path for `root_dir`. Notice the use of wild card `*` for referring to multiple parts as a file pattern."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_dir = '/Users/XXXXX/Documents/tf_datasets/flower_photos'\n",
    "train_file_pattern = \"{}/image_classification_builder-train*.tfrecord*\".format(root_dir)\n",
    "val_file_pattern = \"{}/image_classification_builder-validation*.tfrecord*\".format(root_dir)\n",
    "test_file_pattern = \"{}/image_classification_builder-test*.tfrecord*\".format(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`tf.io` API are helpful in defining a file path pattern. It is passed into a dataset object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/Users/mbp16/Documents/tf_datasets/flower_photos/image_classification_builder-train.tfrecord-00001-of-00002',\n",
       " '/Users/mbp16/Documents/tf_datasets/flower_photos/image_classification_builder-train.tfrecord-00000-of-00002']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.io.gfile.glob(train_file_pattern)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_all_files = tf.data.Dataset.list_files( tf.io.gfile.glob(train_file_pattern))\n",
    "val_all_files = tf.data.Dataset.list_files( tf.io.gfile.glob(val_file_pattern))\n",
    "test_all_files = tf.data.Dataset.list_files( tf.io.gfile.glob(test_file_pattern))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset object is passed into a `TFRecord` reader object, which yields a dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_all_ds = tf.data.TFRecordDataset(train_all_files, num_parallel_reads = AUTOTUNE)\n",
    "val_all_ds = tf.data.TFRecordDataset(val_all_files, num_parallel_reads = AUTOTUNE)\n",
    "test_all_ds = tf.data.TFRecordDataset(test_all_files, num_parallel_reads = AUTOTUNE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Determing sample size in TFRecord"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample size for training: 3540 \n",
      " Sample size for validation: 80 \n",
      " Sample size for test: 50\n"
     ]
    }
   ],
   "source": [
    "print(\"Sample size for training: {0}\".format(sum(1 for _ in tf.data.TFRecordDataset(train_all_files)))\n",
    "     ,'\\n', \"Sample size for validation: {0}\".format(sum(1 for _ in tf.data.TFRecordDataset(val_all_files)))\n",
    "     ,'\\n', \"Sample size for test: {0}\".format(sum(1 for _ in tf.data.TFRecordDataset(test_all_files))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parsing TFRecord"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are feature descriptions used for creating the `TFRecord` from raw images. Use this again for parsing the `TFRecord`, so that we have the right name to parse these features from a given `TFRecord`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_description = {\n",
    "    'image/channels' :  tf.io.FixedLenFeature([], tf.int64),\n",
    "    'image/class/label' :  tf.io.FixedLenFeature([], tf.int64),\n",
    "    'image/class/text' : tf.io.FixedLenFeature([], tf.string),\n",
    "    'image/colorspace' : tf.io.FixedLenFeature([], tf.string),\n",
    "    'image/encoded' : tf.io.FixedLenFeature([], tf.string),\n",
    "    'image/filename' : tf.io.FixedLenFeature([], tf.string),\n",
    "    'image/format' : tf.io.FixedLenFeature([], tf.string),\n",
    "    'image/height' : tf.io.FixedLenFeature([], tf.int64),\n",
    "    'image/width' : tf.io.FixedLenFeature([], tf.int64)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _parse_function(example_proto):\n",
    "  # Parse the input `tf.Example` proto using the dictionary above.\n",
    "  return tf.io.parse_single_example(example_proto, feature_description)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply the parse function to each reacord in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "parsd_ds = train_all_ds.map(_parse_function)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mapping label dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a label map from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "label_map = {}\n",
    "# getting label mapping\n",
    "for image_features in parsd_ds.shuffle(1024).take(100):\n",
    "    label_idx = image_features['image/class/label'].numpy()\n",
    "    label_str = image_features['image/class/text'].numpy().decode()\n",
    "    if label_idx not in label_map:\n",
    "        label_map[label_idx] = label_str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{3: 'dandelion', 0: 'roses', 4: 'tulips', 1: 'sunflowers', 2: 'daisy'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_parsd_ds = val_all_ds.map(_parse_function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_label_map = {}\n",
    "# getting label mapping\n",
    "for image_features in val_parsd_ds.take(80):\n",
    "    label_idx = image_features['image/class/label'].numpy()\n",
    "    label_str = image_features['image/class/text'].numpy().decode()\n",
    "    if label_idx not in val_label_map:\n",
    "        val_label_map[label_idx] = label_str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{4: 'tulips', 0: 'roses', 1: 'sunflowers', 3: 'dandelion', 2: 'daisy'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_label_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Showing content of example protobuf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For inspection, lets take a look at one observation from the validation dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "parsed_examples_dict = {}\n",
    "for raw_record in val_all_ds.take(1):\n",
    "    example = tf.train.Example()\n",
    "    example.ParseFromString(raw_record.numpy())\n",
    "    parsed_example = tf.io.parse_single_example(raw_record, feature_description)\n",
    "    parsed_examples_dict.update(parsed_example)\n",
    "    image = tf.io.decode_jpeg(parsed_example['image/encoded'], channels = 3)\n",
    "    label_idx = tf.cast(parsed_example['image/class/label'], tf.int64)\n",
    "    label = tf.cast(parsed_example['image/class/text'], tf.string)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a dictionary that demonstrate what this observation contains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 'image/class/label': <tf.Tensor: shape=(), dtype=int64, numpy=4>,\n",
       " 'image/class/text': <tf.Tensor: shape=(), dtype=string, numpy=b'tulips'>,\n",
       " 'image/colorspace': <tf.Tensor: shape=(), dtype=string, numpy=b'RGB'>,\n",
       " 'image/encoded': <tf.Tensor: shape=(), dtype=string, 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       " 'image/filename': <tf.Tensor: shape=(), dtype=string, numpy=b'8690791226_b1f015259f_n.jpg'>,\n",
       " 'image/format': <tf.Tensor: shape=(), dtype=string, numpy=b'JPEG'>,\n",
       " 'image/height': <tf.Tensor: shape=(), dtype=int64, numpy=64>,\n",
       " 'image/width': <tf.Tensor: shape=(), dtype=int64, numpy=240>}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parsed_examples_dict # show key-value pairs in the example protobuf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's encode the image byte string into jpeg and show it with its corresponding label."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor(b'tulips', shape=(), dtype=string)\n"
     ]
    }
   ],
   "source": [
    "encoded_jpeg = tf.io.encode_jpeg(image.numpy(), format = 'rgb')\n",
    "display.display(display.Image(data=encoded_jpeg.numpy()))\n",
    "print(label)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This image is labeled as tulips. It is correct. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
